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2020 – today
- 2022
[j5]Jing Tang, Ying Liu, Lu Li, Yanfeng Liu, Yong Wu, Hui Xu, Guanglong Ou
:
Enhancing Aboveground Biomass Estimation for Three Pinus Forests in Yunnan, SW China, Using Landsat 8. Remote. Sens. 14(18): 4589 (2022)- [j4]Yanfeng Liu, Qiang Li, Yuan Yuan, Qian Du, Qi Wang:
ABNet: Adaptive Balanced Network for Multiscale Object Detection in Remote Sensing Imagery. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [j3]Qi Wang, Yanfeng Liu, Zhitong Xiong, Yuan Yuan:
Hybrid Feature Aligned Network for Salient Object Detection in Optical Remote Sensing Imagery. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [c11]Chengxi Ye, Xiong Zhou, Tristan McKinney, Yanfeng Liu, Qinggang Zhou, Fedor Zhdanov:
Exploiting Invariance in Training Deep Neural Networks. AAAI 2022: 8849-8856 - [c10]Chunpeng Zhu, Jiayan Liu, Yanfeng Liu, Hao Tan:
Association of Knowledge with COVID-19 Vaccine Hesitancy Under Emergency: A Nationally Study in China. HCI (12) 2022: 286-297 - [c9]Yanfeng Liu, Qiang Li, Yuan Yuan, Qi Wang:
Single-Shot Balanced Detector for Geospatial Object Detection. ICASSP 2022: 2529-2533 - 2021
- [i3]Chengxi Ye, Xiong Zhou, Tristan McKinney, Yanfeng Liu, Qinggang Zhou, Fedor Zhdanov:
Exploiting Invariance in Training Deep Neural Networks. CoRR abs/2103.16634 (2021) - [i2]John Brennan Peace, Eric Psota, Yanfeng Liu, Lance C. Pérez:
E2ETag: An End-to-End Trainable Method for Generating and Detecting Fiducial Markers. CoRR abs/2105.14184 (2021) - 2020
- [c8]John Brennan Peace, Eric Psota, Yanfeng Liu, Lance C. Pérez:
E2ETag: An End-to-End Trainable Method for Generating and Detecting Fiducial Markers. BMVC 2020 - [i1]Yanfeng Liu, Eric Psota, Lance C. Pérez:
Layered Embeddings for Amodal Instance Segmentation. CoRR abs/2002.06264 (2020)
2010 – 2019
- 2019
- [c7]Shuxing Du, Yanfeng Liu, Wenyan Chen:
Research on Geometric Modeling Virtual Assembly Technology Based on Component-level Assembly Feature. AIVR 2019: 17-20 - [c6]Yanfeng Liu, Eric T. Psota, Lance C. Pérez:
Layered Embeddings for Amodal Instance Segmentation. ICIAR (1) 2019: 102-111 - 2018
- [j2]Leixiao Li, Jing Gao, Yanfeng Liu:
Opti-SW: An improved gene sequence alignment algorithm. Ingénierie des Systèmes d Inf. 23(6): 73-85 (2018) - [c5]Yanfeng Liu, Aimin Zhou, Hu Zhang:
Termination detection strategies in evolutionary algorithms: a survey. GECCO 2018: 1063-1070 - [c4]Yanfeng Liu, Yanmeng Xu, Shengfeng Qin:
What are key components when creating an innovative Crowdsourcing business model. ICAC 2018: 1-4 - 2017
- [c3]Yanfeng Liu, Eric T. Psota, Lance C. Pérez:
Human-readable fiducial marker classification using convolutional neural networks. EIT 2017: 606-610 - 2012
- [c2]Yue Zhao, Bin Wang, Xin Xu, Yanfeng Liu:
A moving object detection method based on level set in dynamic scenes. ISPACS 2012: 142-145 - 2010
- [c1]Jin Gao, Yanfeng Liu:
Soil water retention curve analysis using radial basis function network. ICNC 2010: 594-597
2000 – 2009
- 2009
- [j1]Weigong Cui, Hui Jian, Yuan Gan, Zhen Zhang, Yanfeng Liu:
Henan Cultural Information Resources Sharing Project Persistent Effect Mechanism Research. Intell. Inf. Manag. 1(1): 18-23 (2009)
Coauthor Index
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